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2025年7月3日、4日開催「開発生産性カンファレンス2025」で登壇した際の発表資料です。 https://dev-productivity-con.findy-code.io/2025
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Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity We conduct a randomized controlled trial (RCT) to understand how early-2025 AI tools affect the productivity of experienced open-source developers working on their own repositories. Surprisingly, we find that when developers use AI tools, they take 19% longer than without—AI makes them slower. We view this resu
Measuring developer productivity is a difficult challenge. Conventional metrics focused on development cycle time and throughput are limited, and there aren't obvious answers for where else to turn. Qualitative metrics offer a powerful way to measure and understand developer productivity using data derived from developers themselves. Organizations should prioritize measuring developer productivity
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AI agents are here, and already they’re being deployed across contexts that vary widely in consequence, from email triage to cyber espionage. Understanding this spectrum is critical for deploying AI safely, yet we know surprisingly little about how people actually use agents in the real world. We analyzed millions of human-agent interactions across both Claude Code and our public API using our pri
The consultancy giant has devised a methodology it claims measures software developer productivity. They only measure activity, not productivity from a business perspective. And measuring activity comes with costs & risks they do not address. Here’s how we think about measurement. Part 1. (Gergely’s version of this post is here.) At Facebook we [Kent here] instituted the sorts of surveys McKinsey
👋 Hi, this is Gergely with a free issue of the Pragmatic Engineer Newsletter. In every issue, I cover challenges at Big Tech and startups through the lens of engineering managers and senior engineers. To get issues like this in your inbox, weekly, subscribe: Last year, the most popular article in The Pragmatic Engineer was “Measuring developer productivity? A response to McKinsey,” which I wrote
Analysis code available on GitHub Raw data available here This is our most up-to-date measurement of the task-completion time horizons for public language models. We intend to update this graph periodically whenever we have new measurements to share. For methodological details, including a definition of the task-completion time horizon, see the blog post below and the associated paper. Summary: We
AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
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Code-completion systems offering suggestions to a developer in their integrated development environment (IDE) have become the most frequently used kind of programmer assistance.1 When generating whole snippets of code, they typically use a large language model (LLM) to predict what the user might type next (the completion) from the context of what they are working on at the moment (the prompt).2 T
DX Core 4 Framework for measuring productivity that encapsulates DORA, SPACE, and DevEx.
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With generative AI emerging as a general-purpose technology, understanding its economic effects is among society's most pressing questions. Existing studies of AI impact have largely relied on predictions of AI capabilities or focused narrowly on individual firms. Drawing instead on real-world AI usage, we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot to measure AI
The consultancy giant has devised a methodology it claims measures software developer productivity. They only measure activity, not productivity from a business perspective. And measuring activity comes with costs & risks they do not address. Here’s how we think about measurement. Part 2. (Gergely’s version is here.) In the first part of this two-part article, we covered: A mental model of the sof
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👋 Hello everyone. I'm Michael Hall and I will be your guide in Rosieland today. I want to start you off with a story about good intentions with bad outcomes. Hopefully, everybody has seen the Disney Pixar movie Monster’s Inc. by now. In the movie, the monster society runs on energy produced by children’s screams. Even though it’s the energy they’re after, not the screams, it’s the screaming that
Working with AI: Measuring the Applicability of Generative AI to Occupations∗ Kiran Tomlinson1 , Sonia Jaffe1 , Will Wang1 , Scott Counts2 , and Siddharth Suri1 1 Microsoft Research 2 Microsoft Abstract With generative AI emerging as a general-purpose technology, understanding its economic effects is among society’s most pressing questions. Existing studies of AI impact have largely relied on pred
Feno Measuring Device Market Research Report By Application (Asthma Monitoring, Chronic Obstructive Pulmonary Disease Management, Research and Clinical Trials, Occupational Health Monitoring), By End Use (Hospitals, Diagnostic Laboratories, Home Healthcare, Research Institutions), By Product Type (Portable Feno Measuring Devices, Bench-top Feno Measuring Devices, Wearable Feno Measuring Devices),
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Published: February 1, 2023, Last updated: May 14, 2026 Since its launch, the Core Web Vitals initiative has sought to measure the actual user experience of a website, rather than technical details behind how a website is created or loaded. The three Core Web Vitals metrics were created as user-centric metrics—an evolution over existing technical metrics such asDOMContentLoaded or load that measur
Taken from Tranquilizer, the new album by Oneohtrix Point Never, available now via Warp Records. Stream / Order – https://warp.net/opn-tranquilizer *Credits* Directed by legendary video artist Yoshi Sodeoka. Tranquilizer isn’t the sound of sedation, but resurfacing http://pointnever.com https://www.instagram.com/eccopn/ #oneohtrixpointnever #opn #tranquilizer
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